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source("JULES-ES-1p0-common-packages.R")
source("JULES-ES-1p0-common-functions.R")


makeTimeseriesEnsembleSSP <- function(ensloc, variable, nstart, nend, cn = 1850:2100){
  
  ysec <- 31536000
  
  nens <- (nend - nstart) + 1
  # nens is number of ensemble members
  # nts length of timeseries
  # cn is colnames()
  datmat <- matrix(NA, nrow = nens, ncol = length(cn))
  colnames(datmat) <- cn
  
  enslist <- paste("P", formatC(nstart:nend, width=4, flag="0"), sep="")
  
  for(i in 1:nens){
    
    ensmember <- enslist[i]
    
    fn <- paste0(ensloc,'JULES-ES-1p0_',ensmember,'_Annual_global.nc')
    
    try(nc <- nc_open(paste0(fn)))
    #try(localtime <- ncvar_get(nc, 'time'))
    
    # This part compensates for the fact that sometimes years are missing
    #try(localyear <- floor(2100 + (localtime / ysec)))
    #try(ix <- which(cn%in%localyear))
    
    try(dat <- extractTimeseries(nc, variable))
    
    try(datmat[i, ] <- dat)
    nc_close(nc)
  }
  datmat
}

getStandardMemberSSP <- function(ensloc, variable, nts = 251, cn = 1850:2100){
  
  datmat <- matrix(NA, nrow = 1, ncol = nts)
  colnames(datmat) <- cn
  
  ensmember <- 'S3'
  #fn <- paste0(ensloc,ensmember,'/stats/','JULES-ES-1p0_',ensmember,'_Annual_global.nc')
  fn <- paste0(ensloc,'JULES-ES-1p0_',ensmember,'_Annual_global.nc')
  
  try(nc <- nc_open(paste0(fn)))
  try(dat <- extractTimeseries(nc, variable))
  
  datmat[1, ] <- dat
  nc_close(nc)
  datmat
  
}


ensloc_ssp585_S3 <- '/data/users/hadaw/JULES_ES_PPE/u-cf932/'
ensloc_ssp585_RAD <- '/data/users/hadaw/JULES_ES_PPE/u-ck647/'

ysec = 60*60*24*365
sspyears <- 1850:2100

if (file.exists("ensemble_timeseries_ssp_2022-08-09.rdata")) {
  load("ensemble_timeseries_ssp_2022-08-09.rdata")
} else {
  
  # primary carbon cycle outputs
  npp_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "npp_nlim_lnd_sum", cn = sspyears) / (1e12/ysec)
  
  nbp_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "nbp_lnd_sum", cn = sspyears) / (1e12/ysec)
  
  cSoil_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "cSoil_lnd_sum", cn = sspyears) / 1e12
  
  cVeg_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "cVeg_lnd_sum", cn = sspyears) / 1e12
  
  lai_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "lai_lnd_mean", cn = sspyears)
  
  # fluxes
  rh_lnd_sum_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "rh_lnd_sum", cn = sspyears) / (1e12/ysec)
  
  fLuc_lnd_sum_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "fLuc_lnd_sum", cn = sspyears) / (1e12/ysec)
 
  fHarvest_lnd_sum_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "fHarvest_lnd_sum", cn = sspyears) / (1e12/ysec)
  
  # fractions
  treeFrac_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "treeFrac_lnd_mean", cn = sspyears)

  shrubFrac_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "shrubFrac_lnd_mean", cn = sspyears)  
  
  baresoilFrac_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "baresoilFrac_lnd_mean", cn = sspyears)  
  
  c3PftFrac_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "c3PftFrac_lnd_mean", cn = sspyears) 
  
  c4PftFrac_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "c4PftFrac_lnd_mean", cn = sspyears)   
  
  save(npp_ens_ssp585_S3, nbp_ens_ssp585_S3, cSoil_ens_ssp585_S3, cVeg_ens_ssp585_S3, lai_lnd_mean_ens_ssp585_S3, rh_lnd_sum_ens_ssp585_S3, fLuc_lnd_sum_ens_ssp585_S3, fHarvest_lnd_sum_ens_ssp585_S3,
       treeFrac_lnd_mean_ens_ssp585_S3, shrubFrac_lnd_mean_ens_ssp585_S3, baresoilFrac_lnd_mean_ens_ssp585_S3,c3PftFrac_lnd_mean_ens_ssp585_S3, c4PftFrac_lnd_mean_ens_ssp585_S3,
       file = "ensemble_timeseries_ssp_2022-08-09.rdata" )
  
}
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: npp_nlim_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0855_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: cSoil_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0852_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: cSoil_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0853_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: cVeg_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0842_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: cVeg_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0850_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: cVeg_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0851_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: lai_lnd_mean"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0828_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: lai_lnd_mean"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0834_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: lai_lnd_mean"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0837_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: lai_lnd_mean"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0838_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: lai_lnd_mean"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0921_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: rh_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0825_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: rh_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0827_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: rh_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0832_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: rh_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0921_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: fLuc_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0854_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: fLuc_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0856_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: fLuc_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0857_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: fLuc_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0858_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: fLuc_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0859_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: fLuc_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0860_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: fHarvest_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0840_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: fHarvest_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0841_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: fHarvest_lnd_sum"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0921_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: treeFrac_lnd_mean"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0921_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: shrubFrac_lnd_mean"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0921_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: baresoilFrac_lnd_mean"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0921_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: c3PftFrac_lnd_mean"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0921_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
[1] "vobjtovarid4: error #F: I could not find the requsted var (or dimvar) in the file!"
[1] "var (or dimvar) name: c4PftFrac_lnd_mean"
[1] "file name: /data/users/hadaw/JULES_ES_PPE/u-cf932/JULES-ES-1p0_P0921_Annual_global.nc"
Error in vobjtovarid4(nc, varid, verbose = verbose, allowdimvar = TRUE) : 
  Variable not found
## ----------------------------------------------------------------------
## Anomalize ensemble
## ----------------------------------------------------------------------

npp_ens_anom_ssp585_S3 <- anomalizeTSmatrix(npp_ens_ssp585_S3, 1:20)
nbp_ens_anom_ssp585_S3 <- anomalizeTSmatrix(nbp_ens_ssp585_S3, 1:20)
cSoil_ens_anom_ssp585_S3 <- anomalizeTSmatrix(cSoil_ens_ssp585_S3, 1:20)
cVeg_ens_anom_ssp585_S3 <- anomalizeTSmatrix(cVeg_ens_ssp585_S3, 1:20)

rh_lnd_sum_ens_anom_ssp585_S3 <- anomalizeTSmatrix(rh_lnd_sum_ens_ssp585_S3, 1:20)
fLuc_lnd_sum_ens_anom_ssp585_S3 <- anomalizeTSmatrix(fLuc_lnd_sum_ens_ssp585_S3, 1:20)
lai_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(lai_lnd_mean_ens_ssp585_S3, 1:20) 

fHarvest_lnd_sum_ens_anom_ssp585_S3 <- anomalizeTSmatrix(fHarvest_lnd_sum_ens_ssp585_S3, 1:20)
treeFrac_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(treeFrac_lnd_mean_ens_ssp585_S3, 1:20)
shrubFrac_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(shrubFrac_lnd_mean_ens_ssp585_S3, 1:20)
baresoilFrac_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(baresoilFrac_lnd_mean_ens_ssp585_S3, 1:20)
c3PftFrac_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(c3PftFrac_lnd_mean_ens_ssp585_S3, 1:20)
c4PftFrac_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(c4PftFrac_lnd_mean_ens_ssp585_S3, 1:20)

#total_land_carbon_anom <- anomalizeTSmatrix(total_land_carbon_ens, 1:20)

transpval <- 30
linecol = 'black'

par(mfrow= c(3,5), las = 1, mar = c(4,4,1,1))

matplot(sspyears, t(npp_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'NPP', xlab = '', ylab = 'GtC')

matplot(sspyears,t(nbp_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'NBP', xlab = '', ylab = 'GtC')

matplot(sspyears,t(cSoil_ens_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'cSoil', xlab = '', ylab = 'GtC')
 
matplot(sspyears,t(cVeg_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval), 
        main = 'cVeg', xlab = '', ylab = 'GtC' )

matplot(sspyears,t(rh_lnd_sum_ens_ssp585_S3 ),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'RH', xlab = '', ylab = 'GtC')

matplot(sspyears,t(fLuc_lnd_sum_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'fLuc', xlab = '', ylab = 'GtC')

matplot(sspyears,t(lai_lnd_mean_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'LAI', xlab = '', ylab = 'GtC')

matplot(sspyears,t(fHarvest_lnd_sum_ens_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'fHarvest', xlab = '', ylab = 'GtC')

matplot(sspyears,t(treeFrac_lnd_mean_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'treeFrac', xlab = '', ylab = '%')

matplot(sspyears,t(shrubFrac_lnd_mean_ens_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'shrubFrac', xlab = '', ylab = '%')

matplot(sspyears,t(baresoilFrac_lnd_mean_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'baresoilFrac', xlab = '', ylab = '%')

matplot(sspyears,t(c3PftFrac_lnd_mean_ens_ssp585_S3), type = 'l', 
        lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'c3PftFrac', xlab = '', ylab = '%')

matplot(sspyears,t(c4PftFrac_lnd_mean_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'c4PftFrac', xlab = '',ylab = '%')

NA
NA

transpval <- 30
linecol = 'black'

par(mfrow= c(3,5), las = 1, mar = c(4,4,1,1))

matplot(sspyears, t(npp_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'NPP', xlab = '', ylab = 'GtC')

matplot(sspyears,t(nbp_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'NBP', xlab = '', ylab = 'GtC')

matplot(sspyears,t(cSoil_ens_anom_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'cSoil', xlab = '', ylab = 'GtC')
 
matplot(sspyears,t(cVeg_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval), 
        main = 'cVeg', xlab = '', ylab = 'GtC' )

matplot(sspyears,t(rh_lnd_sum_ens_anom_ssp585_S3 ),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'RH', xlab = '', ylab = 'GtC')

matplot(sspyears,t(fLuc_lnd_sum_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'fLuc', xlab = '', ylab = 'GtC')

matplot(sspyears,t(lai_lnd_mean_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'LAI', xlab = '', ylab = 'GtC')

matplot(sspyears,t(fHarvest_lnd_sum_ens_anom_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'fHarvest', xlab = '', ylab = 'GtC')

matplot(sspyears,t(treeFrac_lnd_mean_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'treeFrac', xlab = '', ylab = '%')

matplot(sspyears,t(shrubFrac_lnd_mean_ens_anom_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'shrubFrac', xlab = '', ylab = '%')

matplot(sspyears,t(baresoilFrac_lnd_mean_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'baresoilFrac', xlab = '', ylab = '%')

matplot(sspyears,t(c3PftFrac_lnd_mean_ens_anom_ssp585_S3), type = 'l', 
        lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'c3PftFrac', xlab = '', ylab = '%')

matplot(sspyears,t(c4PftFrac_lnd_mean_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'c4PftFrac', xlab = '',ylab = '%')

NA
NA

0.1 Which ensemble members match constraints?

Start with Level 2 (Andy’s constraints in NPP, NBP, cSoil and cVeg)


ix_mv <- which(sspyears %in% 1996:2015)

yvec_constraints <- c('npp_ens_ssp585_S3', 'nbp_ens_ssp585_S3', 'cSoil_ens_ssp585_S3', 'cVeg_ens_ssp585_S3')

# Matrix of constraint output modern values (1996 - 2015)
Y_const_ssp585_mv <- matrix(data = NA, nrow = nrow(npp_ens_ssp585_S3), ncol = length(yvec_constraints_vec ))
colnames(Y_const_ssp585_mv) <- yvec_constraints

for(i in 1:length(yvec_constraints)){
  
  Y_trunc <- get(yvec_constraints[i])[, ix_mv]
  Y_trunc_mean <- apply(Y_trunc, 1, mean, na.rm = TRUE)
  Y_const_ssp585_mv[,i] <- Y_trunc_mean
}

createConstraintString <- function(yvec, mins, maxes){
  # This function constructs a logical expression as a string to be evaluated
  out <- 'which('
  
  for(i in 1:length(yvec)){
    
    if(i<length(yvec)){
      
    subconst <- paste0('Y_unif','[,', '"',yvec[i],'"',']', '>', mins[i], '&', 'Y_unif','[,', '"',yvec[i], '"',']' , '<', maxes[i], '&')
    }
    
    else{
     subconst <-  paste0('Y_unif','[,', '"',yvec[i],'"',']', '>', mins[i], '&', 'Y_unif','[,', '"',yvec[i], '"',']' , '<', maxes[i])
    }
   out <-  paste0(out, subconst)
  }
  
  out <- paste0(out, ')')
}


AW_mins <- c(35, 0, 750, 300)
AW_maxes <- c(80, 10000, 3000, 800)

Y_unif <- Y_const_ssp585_mv
ix_kept <- eval(parse(text = createConstraintString(yvec=yvec_constraints, mins = AW_mins, maxes = AW_maxes)))



#eval(parse(text = paste0()))

inputConstraintSize <- function(Y_unif, yvec, mins, maxes){
  # Calculate the indices of Y_unif that are within the bounds set by mins and maxes
  
  
  ix_kept <- eval(parse(text = createConstraintString(yvec=yvec, mins = mins, maxes = maxes)))
  
  prop_kept <- length(ix_kept) / nrow(Y_unif)
  
  return(list(ix_kept = ix_kept, prop_kept = prop_kept))
  
}
  

0.1.1 Timeseries of absolute vales


lcol_wave01 <- makeTransparent('firebrick',  80)
lcol_wave01_level2 <- makeTransparent('gold',  80)
stancol = 'black'

linePlotMultiEns <- function(years, ens1, ens2, col1, col2, ylab, main, ylim = NULL){
  # Plot wave00 and wave01 timeseries on top of one another
  
  nt <- length(years) 
  if(is.null(ylim)){
    
  #ylim = range(c(ens1[,1], ens1[,nt], ens2[,1], ens2[ ,nt]))
  ylim = range(c(ens1,ens2))
  }
  
  else ylim <- ylim
  
  matplot(years, t(ens1), type = 'l', lty = 'solid',ylim = ylim, col = col1,
        ylab = ylab, main = main, xlab = '',
        bty = 'n', lwd = 1.5)
  matlines(years, t(ens2), col = col2, lty = 'solid', lwd = 1.5)
}


par(mfrow= c(3,5), las = 1, mar = c(4,4,1,0))

linePlotMultiEns(years = sspyears, ens1 = npp_ens_ssp585_S3,
                 ens2 = npp_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NPP')

linePlotMultiEns(years = sspyears, ens1 = nbp_ens_ssp585_S3,
                 ens2 = nbp_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NBP')

linePlotMultiEns(years = sspyears, ens1 = cSoil_ens_ssp585_S3,
                 ens2 = cSoil_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cSoil')

linePlotMultiEns(years = sspyears, ens1 = cVeg_ens_ssp585_S3,
                 ens2 = cVeg_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cVeg')


linePlotMultiEns(years = sspyears, ens1 = rh_lnd_sum_ens_ssp585_S3,
                 ens2 = rh_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'RH')

linePlotMultiEns(years = sspyears, ens1 = fLuc_lnd_sum_ens_ssp585_S3,
                 ens2 = fLuc_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fLuc')


linePlotMultiEns(years = sspyears, ens1 = lai_lnd_mean_ens_ssp585_S3,
                 ens2 = lai_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'LAI')

linePlotMultiEns(years = sspyears, ens1 = fHarvest_lnd_sum_ens_ssp585_S3,
                 ens2 = fHarvest_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fHarvest')


linePlotMultiEns(years = sspyears, ens1 = treeFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = treeFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'treeFrac')

linePlotMultiEns(years = sspyears, ens1 = shrubFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = shrubFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'shrubFrac')

linePlotMultiEns(years = sspyears, ens1 = baresoilFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = baresoilFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'baresoilFrac')


linePlotMultiEns(years = sspyears, ens1 = c3PftFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = c3PftFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c3PftFrac')

linePlotMultiEns(years = sspyears, ens1 = c4PftFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = c4PftFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c4PftFrac')
reset()

legend('bottomright', legend = c('wave01', 'wave01 level2'), lty = 'solid', lwd = 1.5, col = c(lcol_wave01, lcol_wave01_level2), inset = c(0.05, 0.15) )

0.1.2 Anomaly timeseries


par(mfrow= c(3,5), las = 1, mar = c(4,4,1,0))

linePlotMultiEns(years = sspyears, ens1 = npp_ens_anom_ssp585_S3,
                 ens2 = npp_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NPP')

linePlotMultiEns(years = sspyears, ens1 = nbp_ens_anom_ssp585_S3,
                 ens2 = nbp_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NBP')

linePlotMultiEns(years = sspyears, ens1 = cSoil_ens_anom_ssp585_S3,
                 ens2 = cSoil_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cSoil')

linePlotMultiEns(years = sspyears, ens1 = cVeg_ens_anom_ssp585_S3,
                 ens2 = cVeg_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cVeg')


linePlotMultiEns(years = sspyears, ens1 = rh_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = rh_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'RH')

linePlotMultiEns(years = sspyears, ens1 = fLuc_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = fLuc_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fLuc')


linePlotMultiEns(years = sspyears, ens1 = lai_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = lai_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'LAI')

linePlotMultiEns(years = sspyears, ens1 = fHarvest_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = fHarvest_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fHarvest')


linePlotMultiEns(years = sspyears, ens1 = treeFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = treeFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'treeFrac')

linePlotMultiEns(years = sspyears, ens1 = shrubFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = shrubFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'shrubFrac')

linePlotMultiEns(years = sspyears, ens1 = baresoilFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = baresoilFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'baresoilFrac')


linePlotMultiEns(years = sspyears, ens1 = c3PftFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = c3PftFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c3PftFrac')

linePlotMultiEns(years = sspyears, ens1 = c4PftFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = c4PftFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c4PftFrac')
reset()

legend('bottomright', legend = c('wave01', 'wave01 level2'), lty = 'solid', lwd = 2, col = c(lcol_wave01, lcol_wave01_level2), inset = c(0.05, 0.15) )

NA
NA

0.2 Include Tree fraction data


load('treefrac/global_frac_cci.RData')

frac_cci <- c(global_frac_cci[1] + global_frac_cci[2], global_frac_cci[3], global_frac_cci[4], global_frac_cci[5], global_frac_cci[8] )
#frac_mv <- c(standard_modern_value['treeFrac_lnd_mean'], standard_modern_value['c3PftFrac_lnd_mean'], #standard_modern_value['c4PftFrac_lnd_mean'], standard_modern_value['shrubFrac_lnd_mean'], standard_modern_value['baresoilFrac_lnd_mean']  )


fraclab = c('Trees', 'C3 grasses', 'C4 grasses', 'Shrubs', 'Bare soil')


# Half and double the LC CCI data to get bounds for constraining JULES ES-1.0
frac_cci_max <- frac_cci + (0.5*frac_cci)
frac_cci_min <- frac_cci - (0.5*frac_cci)

ix_mv <- which(sspyears %in% 1996:2015)

yvec_constraints <- c('npp_ens_ssp585_S3', 'nbp_ens_ssp585_S3', 'cSoil_ens_ssp585_S3', 'cVeg_ens_ssp585_S3','baresoilFrac_lnd_mean_ens_ssp585_S3')

# Matrix of constraint output modern values (1996 - 2015)
Y_const_ssp585_mv <- matrix(data = NA, nrow = nrow(npp_ens_ssp585_S3), ncol = length(yvec_constraints))
colnames(Y_const_ssp585_mv) <- yvec_constraints

for(i in 1:length(yvec_constraints)){
  
  Y_trunc <- get(yvec_constraints[i])[, ix_mv]
  Y_trunc_mean <- apply(Y_trunc, 1, mean, na.rm = TRUE)
  Y_const_ssp585_mv[,i] <- Y_trunc_mean
}
const_mins <- c(35, 0, 750, 300, frac_cci_min['bare soil']*100)
const_maxes <- c(80, 10000, 3000, 800, frac_cci_max['bare soil']*100)

Y_unif <- Y_const_ssp585_mv
ix_kept <- eval(parse(text = createConstraintString(yvec=yvec_constraints, mins = const_mins, maxes = const_maxes)))

lcol_wave01 <- makeTransparent('firebrick',  120)
lcol_wave01_level2 <- makeTransparent('gold',  120)
stancol = 'black'

linePlotMultiEns <- function(years, ens1, ens2, col1, col2, ylab, main, ylim = NULL){
  # Plot wave00 and wave01 timeseries on top of one another
  
  nt <- length(years) 
  if(is.null(ylim)){
    
  #ylim = range(c(ens1[,1], ens1[,nt], ens2[,1], ens2[ ,nt]))
  ylim = range(c(ens1,ens2))
  }
  
  else ylim <- ylim
  
  matplot(years, t(ens1), type = 'l', lty = 'solid',ylim = ylim, col = col1,
        ylab = ylab, main = main, xlab = '',
        bty = 'n', lwd = 1.5)
  matlines(years, t(ens2), col = col2, lty = 'solid', lwd = 1.5)
}


par(mfrow= c(3,5), las = 1, mar = c(4,4,1,0))

linePlotMultiEns(years = sspyears, ens1 = npp_ens_ssp585_S3,
                 ens2 = npp_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NPP')

linePlotMultiEns(years = sspyears, ens1 = nbp_ens_ssp585_S3,
                 ens2 = nbp_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NBP')

linePlotMultiEns(years = sspyears, ens1 = cSoil_ens_ssp585_S3,
                 ens2 = cSoil_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cSoil')

linePlotMultiEns(years = sspyears, ens1 = cVeg_ens_ssp585_S3,
                 ens2 = cVeg_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cVeg')


linePlotMultiEns(years = sspyears, ens1 = rh_lnd_sum_ens_ssp585_S3,
                 ens2 = rh_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'RH')

linePlotMultiEns(years = sspyears, ens1 = fLuc_lnd_sum_ens_ssp585_S3,
                 ens2 = fLuc_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fLuc')


linePlotMultiEns(years = sspyears, ens1 = lai_lnd_mean_ens_ssp585_S3,
                 ens2 = lai_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'LAI')

linePlotMultiEns(years = sspyears, ens1 = fHarvest_lnd_sum_ens_ssp585_S3,
                 ens2 = fHarvest_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fHarvest')


linePlotMultiEns(years = sspyears, ens1 = treeFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = treeFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'treeFrac')

linePlotMultiEns(years = sspyears, ens1 = shrubFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = shrubFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'shrubFrac')

linePlotMultiEns(years = sspyears, ens1 = baresoilFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = baresoilFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'baresoilFrac')


linePlotMultiEns(years = sspyears, ens1 = c3PftFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = c3PftFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c3PftFrac')

linePlotMultiEns(years = sspyears, ens1 = c4PftFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = c4PftFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c4PftFrac')
reset()

legend('bottomright', legend = c('wave01', 'wave01 level2'), lty = 'solid', lwd = 2, col = c(lcol_wave01, lcol_wave01_level2), inset = c(0.05, 0.15) )

0.2.1 Anomaly timeseries


par(mfrow= c(3,5), las = 1, mar = c(4,4,1,0))

linePlotMultiEns(years = sspyears, ens1 = npp_ens_anom_ssp585_S3,
                 ens2 = npp_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NPP')

linePlotMultiEns(years = sspyears, ens1 = nbp_ens_anom_ssp585_S3,
                 ens2 = nbp_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NBP')

linePlotMultiEns(years = sspyears, ens1 = cSoil_ens_anom_ssp585_S3,
                 ens2 = cSoil_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cSoil')

linePlotMultiEns(years = sspyears, ens1 = cVeg_ens_anom_ssp585_S3,
                 ens2 = cVeg_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cVeg')


linePlotMultiEns(years = sspyears, ens1 = rh_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = rh_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'RH')

linePlotMultiEns(years = sspyears, ens1 = fLuc_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = fLuc_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fLuc')


linePlotMultiEns(years = sspyears, ens1 = lai_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = lai_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'LAI')

linePlotMultiEns(years = sspyears, ens1 = fHarvest_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = fHarvest_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fHarvest')


linePlotMultiEns(years = sspyears, ens1 = treeFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = treeFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'treeFrac')

linePlotMultiEns(years = sspyears, ens1 = shrubFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = shrubFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'shrubFrac')

linePlotMultiEns(years = sspyears, ens1 = baresoilFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = baresoilFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'baresoilFrac')


linePlotMultiEns(years = sspyears, ens1 = c3PftFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = c3PftFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c3PftFrac')

linePlotMultiEns(years = sspyears, ens1 = c4PftFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = c4PftFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c4PftFrac')
reset()

legend('bottomright', legend = c('wave01', 'wave01 level2'), lty = 'solid', lwd = 2, col = c(lcol_wave01, lcol_wave01_level2), inset = c(0.05, 0.15) )

NA
NA

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---
title: "Analysis of JULES1p0 ensemble SSP585"
output:
  html_notebook:
    toc: yes
    toc_float: yes
    toc_depth: 2
    number_sections: yes
---

This is an [R Markdown](http://rmarkdown.rstudio.com) Notebook. When you execute code within the notebook, the results appear beneath the code. 

Try executing this chunk by clicking the *Run* button within the chunk or by placing your cursor inside it and pressing *Ctrl+Shift+Enter*. 

```{r, echo = FALSE, message = FALSE, warning=FALSE, results = 'hide'}
# Load helper functions

knitr::opts_chunk$set(fig.path = "figs/", echo = FALSE, message = FALSE, warnings = FALSE)


```

```{r}

source("JULES-ES-1p0-common-packages.R")
source("JULES-ES-1p0-common-functions.R")
```


```{r}


makeTimeseriesEnsembleSSP <- function(ensloc, variable, nstart, nend, cn = 1850:2100){
  
  ysec <- 31536000
  
  nens <- (nend - nstart) + 1
  # nens is number of ensemble members
  # nts length of timeseries
  # cn is colnames()
  datmat <- matrix(NA, nrow = nens, ncol = length(cn))
  colnames(datmat) <- cn
  
  enslist <- paste("P", formatC(nstart:nend, width=4, flag="0"), sep="")
  
  for(i in 1:nens){
    
    ensmember <- enslist[i]
    
    fn <- paste0(ensloc,'JULES-ES-1p0_',ensmember,'_Annual_global.nc')
    
    try(nc <- nc_open(paste0(fn)))
    #try(localtime <- ncvar_get(nc, 'time'))
    
    # This part compensates for the fact that sometimes years are missing
    #try(localyear <- floor(2100 + (localtime / ysec)))
    #try(ix <- which(cn%in%localyear))
    
    try(dat <- extractTimeseries(nc, variable))
    
    try(datmat[i, ] <- dat)
    nc_close(nc)
  }
  datmat
}

getStandardMemberSSP <- function(ensloc, variable, nts = 251, cn = 1850:2100){
  
  datmat <- matrix(NA, nrow = 1, ncol = nts)
  colnames(datmat) <- cn
  
  ensmember <- 'S3'
  #fn <- paste0(ensloc,ensmember,'/stats/','JULES-ES-1p0_',ensmember,'_Annual_global.nc')
  fn <- paste0(ensloc,'JULES-ES-1p0_',ensmember,'_Annual_global.nc')
  
  try(nc <- nc_open(paste0(fn)))
  try(dat <- extractTimeseries(nc, variable))
  
  datmat[1, ] <- dat
  nc_close(nc)
  datmat
  
}



```



```{r}


ensloc_ssp585_S3 <- '/data/users/hadaw/JULES_ES_PPE/u-cf932/'
ensloc_ssp585_RAD <- '/data/users/hadaw/JULES_ES_PPE/u-ck647/'

ysec = 60*60*24*365
sspyears <- 1850:2100



```



```{r}

if (file.exists("ensemble_timeseries_ssp_2022-08-09.rdata")) {
  load("ensemble_timeseries_ssp_2022-08-09.rdata")
} else {
  
  # primary carbon cycle outputs
  npp_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "npp_nlim_lnd_sum", cn = sspyears) / (1e12/ysec)
  
  nbp_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "nbp_lnd_sum", cn = sspyears) / (1e12/ysec)
  
  cSoil_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "cSoil_lnd_sum", cn = sspyears) / 1e12
  
  cVeg_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "cVeg_lnd_sum", cn = sspyears) / 1e12
  
  lai_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "lai_lnd_mean", cn = sspyears)
  
  # fluxes
  rh_lnd_sum_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "rh_lnd_sum", cn = sspyears) / (1e12/ysec)
  
  fLuc_lnd_sum_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "fLuc_lnd_sum", cn = sspyears) / (1e12/ysec)
 
  fHarvest_lnd_sum_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "fHarvest_lnd_sum", cn = sspyears) / (1e12/ysec)
  
  # fractions
  treeFrac_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "treeFrac_lnd_mean", cn = sspyears)

  shrubFrac_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "shrubFrac_lnd_mean", cn = sspyears)  
  
  baresoilFrac_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "baresoilFrac_lnd_mean", cn = sspyears)  
  
  c3PftFrac_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "c3PftFrac_lnd_mean", cn = sspyears) 
  
  c4PftFrac_lnd_mean_ens_ssp585_S3 <- makeTimeseriesEnsembleSSP(ensloc = ensloc_ssp585_S3,
                                                 nstart = 499, nend = 999, variable = "c4PftFrac_lnd_mean", cn = sspyears)   
  
  save(npp_ens_ssp585_S3, nbp_ens_ssp585_S3, cSoil_ens_ssp585_S3, cVeg_ens_ssp585_S3, lai_lnd_mean_ens_ssp585_S3, rh_lnd_sum_ens_ssp585_S3, fLuc_lnd_sum_ens_ssp585_S3, fHarvest_lnd_sum_ens_ssp585_S3,
       treeFrac_lnd_mean_ens_ssp585_S3, shrubFrac_lnd_mean_ens_ssp585_S3, baresoilFrac_lnd_mean_ens_ssp585_S3,c3PftFrac_lnd_mean_ens_ssp585_S3, c4PftFrac_lnd_mean_ens_ssp585_S3,
       file = "ensemble_timeseries_ssp_2022-08-09.rdata" )
  
}




```


```{r, include=FALSE}

# npp_stan_ssp585_S3<- getStandardMember(ensloc = ensloc_wave00, variable = "npp_nlim_lnd_sum") / (1e12/ysec)
# nbp_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "nbp_lnd_sum") / (1e12/ysec)
# cSoil_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "cSoil_lnd_sum") / 1e12
# cVeg_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "cVeg_lnd_sum") / 1e12
# lai_lnd_mean_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "lai_lnd_mean")
# 
# 
# # fluxes
# rh_lnd_sum_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "rh_lnd_sum") / (1e12/ysec)
# fLuc_lnd_sum_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "fLuc_lnd_sum") / (1e12/ysec)
# fHarvest_lnd_sum_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "fHarvest_lnd_sum") / (1e12/ysec)
# 
# 
# # fractions
# treeFrac_lnd_mean_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "treeFrac_lnd_mean")
# shrubFrac_lnd_mean_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "shrubFrac_lnd_mean")
# baresoilFrac_lnd_mean_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "baresoilFrac_lnd_mean")
# c3PftFrac_lnd_mean_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "c3PftFrac_lnd_mean")
# c4PftFrac_lnd_mean_stan_ssp585_S3 <- getStandardMember(ensloc = ensloc_wave00, variable = "c4PftFrac_lnd_mean")



```


```{r}
## ----------------------------------------------------------------------
## Anomalize ensemble
## ----------------------------------------------------------------------

npp_ens_anom_ssp585_S3 <- anomalizeTSmatrix(npp_ens_ssp585_S3, 1:20)
nbp_ens_anom_ssp585_S3 <- anomalizeTSmatrix(nbp_ens_ssp585_S3, 1:20)
cSoil_ens_anom_ssp585_S3 <- anomalizeTSmatrix(cSoil_ens_ssp585_S3, 1:20)
cVeg_ens_anom_ssp585_S3 <- anomalizeTSmatrix(cVeg_ens_ssp585_S3, 1:20)

rh_lnd_sum_ens_anom_ssp585_S3 <- anomalizeTSmatrix(rh_lnd_sum_ens_ssp585_S3, 1:20)
fLuc_lnd_sum_ens_anom_ssp585_S3 <- anomalizeTSmatrix(fLuc_lnd_sum_ens_ssp585_S3, 1:20)
lai_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(lai_lnd_mean_ens_ssp585_S3, 1:20) 

fHarvest_lnd_sum_ens_anom_ssp585_S3 <- anomalizeTSmatrix(fHarvest_lnd_sum_ens_ssp585_S3, 1:20)
treeFrac_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(treeFrac_lnd_mean_ens_ssp585_S3, 1:20)
shrubFrac_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(shrubFrac_lnd_mean_ens_ssp585_S3, 1:20)
baresoilFrac_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(baresoilFrac_lnd_mean_ens_ssp585_S3, 1:20)
c3PftFrac_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(c3PftFrac_lnd_mean_ens_ssp585_S3, 1:20)
c4PftFrac_lnd_mean_ens_anom_ssp585_S3 <- anomalizeTSmatrix(c4PftFrac_lnd_mean_ens_ssp585_S3, 1:20)

#total_land_carbon_anom <- anomalizeTSmatrix(total_land_carbon_ens, 1:20)


```

```{r, fig.width = 12, fig.height = 12}

transpval <- 30
linecol = 'black'

par(mfrow= c(3,5), las = 1, mar = c(4,4,1,1))

matplot(sspyears, t(npp_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'NPP', xlab = '', ylab = 'GtC')

matplot(sspyears,t(nbp_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'NBP', xlab = '', ylab = 'GtC')

matplot(sspyears,t(cSoil_ens_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'cSoil', xlab = '', ylab = 'GtC')
 
matplot(sspyears,t(cVeg_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval), 
        main = 'cVeg', xlab = '', ylab = 'GtC' )

matplot(sspyears,t(rh_lnd_sum_ens_ssp585_S3 ),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'RH', xlab = '', ylab = 'GtC')

matplot(sspyears,t(fLuc_lnd_sum_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'fLuc', xlab = '', ylab = 'GtC')

matplot(sspyears,t(lai_lnd_mean_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'LAI', xlab = '', ylab = 'GtC')

matplot(sspyears,t(fHarvest_lnd_sum_ens_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'fHarvest', xlab = '', ylab = 'GtC')

matplot(sspyears,t(treeFrac_lnd_mean_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'treeFrac', xlab = '', ylab = '%')

matplot(sspyears,t(shrubFrac_lnd_mean_ens_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'shrubFrac', xlab = '', ylab = '%')

matplot(sspyears,t(baresoilFrac_lnd_mean_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'baresoilFrac', xlab = '', ylab = '%')

matplot(sspyears,t(c3PftFrac_lnd_mean_ens_ssp585_S3), type = 'l', 
        lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'c3PftFrac', xlab = '', ylab = '%')

matplot(sspyears,t(c4PftFrac_lnd_mean_ens_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'c4PftFrac', xlab = '',ylab = '%')


```


```{r, fig.width = 12, fig.height = 12}

transpval <- 30
linecol = 'black'

par(mfrow= c(3,5), las = 1, mar = c(4,4,1,1))

matplot(sspyears, t(npp_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'NPP', xlab = '', ylab = 'GtC')

matplot(sspyears,t(nbp_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'NBP', xlab = '', ylab = 'GtC')

matplot(sspyears,t(cSoil_ens_anom_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'cSoil', xlab = '', ylab = 'GtC')
 
matplot(sspyears,t(cVeg_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval), 
        main = 'cVeg', xlab = '', ylab = 'GtC' )

matplot(sspyears,t(rh_lnd_sum_ens_anom_ssp585_S3 ),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'RH', xlab = '', ylab = 'GtC')

matplot(sspyears,t(fLuc_lnd_sum_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'fLuc', xlab = '', ylab = 'GtC')

matplot(sspyears,t(lai_lnd_mean_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'LAI', xlab = '', ylab = 'GtC')

matplot(sspyears,t(fHarvest_lnd_sum_ens_anom_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'fHarvest', xlab = '', ylab = 'GtC')

matplot(sspyears,t(treeFrac_lnd_mean_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'treeFrac', xlab = '', ylab = '%')

matplot(sspyears,t(shrubFrac_lnd_mean_ens_anom_ssp585_S3), 
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'shrubFrac', xlab = '', ylab = '%')

matplot(sspyears,t(baresoilFrac_lnd_mean_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'baresoilFrac', xlab = '', ylab = '%')

matplot(sspyears,t(c3PftFrac_lnd_mean_ens_anom_ssp585_S3), type = 'l', 
        lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'c3PftFrac', xlab = '', ylab = '%')

matplot(sspyears,t(c4PftFrac_lnd_mean_ens_anom_ssp585_S3),
        type = 'l', lty = 'solid', col = makeTransparent(linecol, transpval),
        main = 'c4PftFrac', xlab = '',ylab = '%')


```


## Which ensemble members match constraints?

Start with Level 2 (Andy's constraints in NPP, NBP, cSoil and cVeg)

```{r}

ix_mv <- which(sspyears %in% 1996:2015)

yvec_constraints <- c('npp_ens_ssp585_S3', 'nbp_ens_ssp585_S3', 'cSoil_ens_ssp585_S3', 'cVeg_ens_ssp585_S3')

# Matrix of constraint output modern values (1996 - 2015)
Y_const_ssp585_mv <- matrix(data = NA, nrow = nrow(npp_ens_ssp585_S3), ncol = length(yvec_constraints_vec ))
colnames(Y_const_ssp585_mv) <- yvec_constraints

for(i in 1:length(yvec_constraints)){
  
  Y_trunc <- get(yvec_constraints[i])[, ix_mv]
  Y_trunc_mean <- apply(Y_trunc, 1, mean, na.rm = TRUE)
  Y_const_ssp585_mv[,i] <- Y_trunc_mean
}

```


```{r}

createConstraintString <- function(yvec, mins, maxes){
  # This function constructs a logical expression as a string to be evaluated
  out <- 'which('
  
  for(i in 1:length(yvec)){
    
    if(i<length(yvec)){
      
    subconst <- paste0('Y_unif','[,', '"',yvec[i],'"',']', '>', mins[i], '&', 'Y_unif','[,', '"',yvec[i], '"',']' , '<', maxes[i], '&')
    }
    
    else{
     subconst <-  paste0('Y_unif','[,', '"',yvec[i],'"',']', '>', mins[i], '&', 'Y_unif','[,', '"',yvec[i], '"',']' , '<', maxes[i])
    }
   out <-  paste0(out, subconst)
  }
  
  out <- paste0(out, ')')
}


AW_mins <- c(35, 0, 750, 300)
AW_maxes <- c(80, 10000, 3000, 800)

Y_unif <- Y_const_ssp585_mv
ix_kept <- eval(parse(text = createConstraintString(yvec=yvec_constraints, mins = AW_mins, maxes = AW_maxes)))



#eval(parse(text = paste0()))

inputConstraintSize <- function(Y_unif, yvec, mins, maxes){
  # Calculate the indices of Y_unif that are within the bounds set by mins and maxes
  
  
  ix_kept <- eval(parse(text = createConstraintString(yvec=yvec, mins = mins, maxes = maxes)))
  
  prop_kept <- length(ix_kept) / nrow(Y_unif)
  
  return(list(ix_kept = ix_kept, prop_kept = prop_kept))
  
}
  
```

### Timeseries of absolute vales

```{r, fig.width = 10, fig.height = 12}

lcol_wave01 <- makeTransparent('firebrick',  80)
lcol_wave01_level2 <- makeTransparent('gold',  80)
stancol = 'black'

linePlotMultiEns <- function(years, ens1, ens2, col1, col2, ylab, main, ylim = NULL){
  # Plot wave00 and wave01 timeseries on top of one another
  
  nt <- length(years) 
  if(is.null(ylim)){
    
  #ylim = range(c(ens1[,1], ens1[,nt], ens2[,1], ens2[ ,nt]))
  ylim = range(c(ens1,ens2))
  }
  
  else ylim <- ylim
  
  matplot(years, t(ens1), type = 'l', lty = 'solid',ylim = ylim, col = col1,
        ylab = ylab, main = main, xlab = '',
        bty = 'n', lwd = 1.5)
  matlines(years, t(ens2), col = col2, lty = 'solid', lwd = 1.5)
}


par(mfrow= c(3,5), las = 1, mar = c(4,4,1,0))

linePlotMultiEns(years = sspyears, ens1 = npp_ens_ssp585_S3,
                 ens2 = npp_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NPP')

linePlotMultiEns(years = sspyears, ens1 = nbp_ens_ssp585_S3,
                 ens2 = nbp_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NBP')

linePlotMultiEns(years = sspyears, ens1 = cSoil_ens_ssp585_S3,
                 ens2 = cSoil_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cSoil')

linePlotMultiEns(years = sspyears, ens1 = cVeg_ens_ssp585_S3,
                 ens2 = cVeg_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cVeg')


linePlotMultiEns(years = sspyears, ens1 = rh_lnd_sum_ens_ssp585_S3,
                 ens2 = rh_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'RH')

linePlotMultiEns(years = sspyears, ens1 = fLuc_lnd_sum_ens_ssp585_S3,
                 ens2 = fLuc_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fLuc')


linePlotMultiEns(years = sspyears, ens1 = lai_lnd_mean_ens_ssp585_S3,
                 ens2 = lai_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'LAI')

linePlotMultiEns(years = sspyears, ens1 = fHarvest_lnd_sum_ens_ssp585_S3,
                 ens2 = fHarvest_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fHarvest')


linePlotMultiEns(years = sspyears, ens1 = treeFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = treeFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'treeFrac')

linePlotMultiEns(years = sspyears, ens1 = shrubFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = shrubFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'shrubFrac')

linePlotMultiEns(years = sspyears, ens1 = baresoilFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = baresoilFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'baresoilFrac')


linePlotMultiEns(years = sspyears, ens1 = c3PftFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = c3PftFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c3PftFrac')

linePlotMultiEns(years = sspyears, ens1 = c4PftFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = c4PftFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c4PftFrac')
reset()

legend('bottomright', legend = c('wave01', 'wave01 level2'), lty = 'solid', lwd = 2, col = c(lcol_wave01, lcol_wave01_level2), inset = c(0.05, 0.15) )

```

### Anomaly timeseries
```{r, fig.width = 10, fig.height = 12}

par(mfrow= c(3,5), las = 1, mar = c(4,4,1,0))

linePlotMultiEns(years = sspyears, ens1 = npp_ens_anom_ssp585_S3,
                 ens2 = npp_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NPP')

linePlotMultiEns(years = sspyears, ens1 = nbp_ens_anom_ssp585_S3,
                 ens2 = nbp_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NBP')

linePlotMultiEns(years = sspyears, ens1 = cSoil_ens_anom_ssp585_S3,
                 ens2 = cSoil_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cSoil')

linePlotMultiEns(years = sspyears, ens1 = cVeg_ens_anom_ssp585_S3,
                 ens2 = cVeg_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cVeg')


linePlotMultiEns(years = sspyears, ens1 = rh_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = rh_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'RH')

linePlotMultiEns(years = sspyears, ens1 = fLuc_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = fLuc_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fLuc')


linePlotMultiEns(years = sspyears, ens1 = lai_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = lai_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'LAI')

linePlotMultiEns(years = sspyears, ens1 = fHarvest_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = fHarvest_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fHarvest')


linePlotMultiEns(years = sspyears, ens1 = treeFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = treeFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'treeFrac')

linePlotMultiEns(years = sspyears, ens1 = shrubFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = shrubFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'shrubFrac')

linePlotMultiEns(years = sspyears, ens1 = baresoilFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = baresoilFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'baresoilFrac')


linePlotMultiEns(years = sspyears, ens1 = c3PftFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = c3PftFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c3PftFrac')

linePlotMultiEns(years = sspyears, ens1 = c4PftFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = c4PftFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c4PftFrac')
reset()

legend('bottomright', legend = c('wave01', 'wave01 level2'), lty = 'solid', lwd = 2, col = c(lcol_wave01, lcol_wave01_level2), inset = c(0.05, 0.15) )


```


## Include Tree fraction data

```{r}

load('treefrac/global_frac_cci.RData')

frac_cci <- c(global_frac_cci[1] + global_frac_cci[2], global_frac_cci[3], global_frac_cci[4], global_frac_cci[5], global_frac_cci[8] )
#frac_mv <- c(standard_modern_value['treeFrac_lnd_mean'], standard_modern_value['c3PftFrac_lnd_mean'], #standard_modern_value['c4PftFrac_lnd_mean'], standard_modern_value['shrubFrac_lnd_mean'], standard_modern_value['baresoilFrac_lnd_mean']  )


fraclab = c('Trees', 'C3 grasses', 'C4 grasses', 'Shrubs', 'Bare soil')


# Half and double the LC CCI data to get bounds for constraining JULES ES-1.0
frac_cci_max <- frac_cci + (0.5*frac_cci)
frac_cci_min <- frac_cci - (0.5*frac_cci)

```


```{r}

ix_mv <- which(sspyears %in% 1996:2015)

yvec_constraints <- c('npp_ens_ssp585_S3', 'nbp_ens_ssp585_S3', 'cSoil_ens_ssp585_S3', 'cVeg_ens_ssp585_S3','baresoilFrac_lnd_mean_ens_ssp585_S3')

# Matrix of constraint output modern values (1996 - 2015)
Y_const_ssp585_mv <- matrix(data = NA, nrow = nrow(npp_ens_ssp585_S3), ncol = length(yvec_constraints))
colnames(Y_const_ssp585_mv) <- yvec_constraints

for(i in 1:length(yvec_constraints)){
  
  Y_trunc <- get(yvec_constraints[i])[, ix_mv]
  Y_trunc_mean <- apply(Y_trunc, 1, mean, na.rm = TRUE)
  Y_const_ssp585_mv[,i] <- Y_trunc_mean
}

```

```{r}
const_mins <- c(35, 0, 750, 300, frac_cci_min['bare soil']*100)
const_maxes <- c(80, 10000, 3000, 800, frac_cci_max['bare soil']*100)

Y_unif <- Y_const_ssp585_mv
ix_kept <- eval(parse(text = createConstraintString(yvec=yvec_constraints, mins = const_mins, maxes = const_maxes)))

```


```{r, fig.width = 10, fig.height = 12}

lcol_wave01 <- makeTransparent('firebrick',  120)
lcol_wave01_level2 <- makeTransparent('gold',  120)
stancol = 'black'

linePlotMultiEns <- function(years, ens1, ens2, col1, col2, ylab, main, ylim = NULL){
  # Plot wave00 and wave01 timeseries on top of one another
  
  nt <- length(years) 
  if(is.null(ylim)){
    
  #ylim = range(c(ens1[,1], ens1[,nt], ens2[,1], ens2[ ,nt]))
  ylim = range(c(ens1,ens2))
  }
  
  else ylim <- ylim
  
  matplot(years, t(ens1), type = 'l', lty = 'solid',ylim = ylim, col = col1,
        ylab = ylab, main = main, xlab = '',
        bty = 'n', lwd = 1.5)
  matlines(years, t(ens2), col = col2, lty = 'solid', lwd = 1.5)
}


par(mfrow= c(3,5), las = 1, mar = c(4,4,1,0))

linePlotMultiEns(years = sspyears, ens1 = npp_ens_ssp585_S3,
                 ens2 = npp_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NPP')

linePlotMultiEns(years = sspyears, ens1 = nbp_ens_ssp585_S3,
                 ens2 = nbp_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NBP')

linePlotMultiEns(years = sspyears, ens1 = cSoil_ens_ssp585_S3,
                 ens2 = cSoil_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cSoil')

linePlotMultiEns(years = sspyears, ens1 = cVeg_ens_ssp585_S3,
                 ens2 = cVeg_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cVeg')


linePlotMultiEns(years = sspyears, ens1 = rh_lnd_sum_ens_ssp585_S3,
                 ens2 = rh_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'RH')

linePlotMultiEns(years = sspyears, ens1 = fLuc_lnd_sum_ens_ssp585_S3,
                 ens2 = fLuc_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fLuc')


linePlotMultiEns(years = sspyears, ens1 = lai_lnd_mean_ens_ssp585_S3,
                 ens2 = lai_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'LAI')

linePlotMultiEns(years = sspyears, ens1 = fHarvest_lnd_sum_ens_ssp585_S3,
                 ens2 = fHarvest_lnd_sum_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fHarvest')


linePlotMultiEns(years = sspyears, ens1 = treeFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = treeFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'treeFrac')

linePlotMultiEns(years = sspyears, ens1 = shrubFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = shrubFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'shrubFrac')

linePlotMultiEns(years = sspyears, ens1 = baresoilFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = baresoilFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'baresoilFrac')


linePlotMultiEns(years = sspyears, ens1 = c3PftFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = c3PftFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c3PftFrac')

linePlotMultiEns(years = sspyears, ens1 = c4PftFrac_lnd_mean_ens_ssp585_S3,
                 ens2 = c4PftFrac_lnd_mean_ens_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c4PftFrac')
reset()

legend('bottomright', legend = c('wave01', 'wave01 level2'), lty = 'solid', lwd = 2, col = c(lcol_wave01, lcol_wave01_level2), inset = c(0.05, 0.15) )

```
### Anomaly timeseries
```{r, fig.width = 10, fig.height = 12}

par(mfrow= c(3,5), las = 1, mar = c(4,4,1,0))

linePlotMultiEns(years = sspyears, ens1 = npp_ens_anom_ssp585_S3,
                 ens2 = npp_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NPP')

linePlotMultiEns(years = sspyears, ens1 = nbp_ens_anom_ssp585_S3,
                 ens2 = nbp_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'NBP')

linePlotMultiEns(years = sspyears, ens1 = cSoil_ens_anom_ssp585_S3,
                 ens2 = cSoil_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cSoil')

linePlotMultiEns(years = sspyears, ens1 = cVeg_ens_anom_ssp585_S3,
                 ens2 = cVeg_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'cVeg')


linePlotMultiEns(years = sspyears, ens1 = rh_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = rh_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'RH')

linePlotMultiEns(years = sspyears, ens1 = fLuc_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = fLuc_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fLuc')


linePlotMultiEns(years = sspyears, ens1 = lai_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = lai_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'LAI')

linePlotMultiEns(years = sspyears, ens1 = fHarvest_lnd_sum_ens_anom_ssp585_S3,
                 ens2 = fHarvest_lnd_sum_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = 'GtC', main = 'fHarvest')


linePlotMultiEns(years = sspyears, ens1 = treeFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = treeFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'treeFrac')

linePlotMultiEns(years = sspyears, ens1 = shrubFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = shrubFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'shrubFrac')

linePlotMultiEns(years = sspyears, ens1 = baresoilFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = baresoilFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'baresoilFrac')


linePlotMultiEns(years = sspyears, ens1 = c3PftFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = c3PftFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c3PftFrac')

linePlotMultiEns(years = sspyears, ens1 = c4PftFrac_lnd_mean_ens_anom_ssp585_S3,
                 ens2 = c4PftFrac_lnd_mean_ens_anom_ssp585_S3[ix_kept, ],
                 col1 = lcol_wave01, col2 = lcol_wave01_level2,
                 ylab = '%', main = 'c4PftFrac')
reset()

legend('bottomright', legend = c('wave01', 'wave01 level2'), lty = 'solid', lwd = 2, col = c(lcol_wave01, lcol_wave01_level2), inset = c(0.05, 0.15) )


```



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